Top marine predators track Lagrangian coherent structures

Meso- and submesoscales (fronts, eddies, filaments) in surface ocean flow have a crucial influence on marine ecosystems. Their dynamics partly control the foraging behavior and the displacement of marine top predators (tuna, birds, turtles, and cetaceans). In this work we focus on the role of submesoscale structures in the Mozambique Channel in the distribution of a marine predator, the Great Frigatebird. Using a newly developed dynamic concept, the finite-size Lyapunov exponent (FSLE), we identified Lagrangian coherent structures (LCSs) present in the surface flow in the channel over a 2-month observation period (August and September 2003). By comparing seabird satellite positions with LCS locations, we demonstrate that frigatebirds track precisely these structures in the Mozambique Channel, providing the first evidence that a top predator is able to track these FSLE ridges to locate food patches. After comparing bird positions during long and short trips and different parts of these trips, we propose several hypotheses to understand how frigatebirds can follow these LCSs. The birds might use visual and/or olfactory cues and/or atmospheric current changes over the structures to move along these biologic corridors. The birds being often associated with tuna schools around foraging areas, a thorough comprehension of their foraging behavior and movement during the breeding season is crucial not only to seabird ecology but also to an appropriate ecosystemic approach to fisheries in the channel.

[1]  J. Polovina,et al.  Oceanographic investigation of the American Samoa albacore (Thunnus alalunga) habitat and longline fishing grounds , 2007 .

[2]  H. Weimerskirch,et al.  Seabird community structure in a coastal tropical environment: importance of natural factors and fish aggregating devices (FADs) , 2004 .

[3]  H. Weimerskirch,et al.  Flight performance: Frigatebirds ride high on thermals , 2003, Nature.

[4]  Peter Kareiva,et al.  Dimethyl sulphide as a foraging cue for Antarctic Procellariiform seabirds , 1995, Nature.

[5]  Cristóbal López,et al.  Comparison between Eulerian diagnostics and finite-size Lyapunov exponents computed from altimetry in the Algerian basin , 2008, 0807.3848.

[6]  W. Montevecchi,et al.  Distributional patterns of a marine bird and its prey: habitat selection based on prey and conspecific behaviour , 2003 .

[7]  F. Hernandez,et al.  A mean dynamic topography computed over the world ocean from altimetry, in situ measurements, and a geoid model , 2004 .

[8]  W. D. Ruijter,et al.  Moored current observations in the Mozambique Channel , 2003 .

[9]  Uriel Frisch,et al.  d-dimensional turbulence , 1978 .

[10]  G. Haller,et al.  Lagrangian coherent structures and mixing in two-dimensional turbulence , 2000 .

[11]  A. Bennett Relative Dispersion: Local and Nonlocal Dynamics , 1984 .

[12]  Rosemary Morrow,et al.  Global surface currents: a high-resolution product for investigating ocean dynamics , 2008 .

[13]  A. Crisanti,et al.  Predictability in the large: an extension of the concept of Lyapunov exponent , 1996, chao-dyn/9606014.

[14]  Michel Potier,et al.  Foraging strategy of a top predator in tropical waters: great frigatebirds in the Mozambique Channel , 2004 .

[15]  K. Hyrenbach,et al.  Oceanographic habitats of two sympatric North Pacific albatrosses during the breeding season , 2002 .

[16]  T. D. Dickey,et al.  Influence of mesoscale eddies on new production in the Sargasso Sea , 1998, Nature.

[17]  D. Mackas,et al.  Zooplankton distribution and dynamics in a North Pacific Eddy of coastal origin: II. Mechanisms of eddy colonization by and retention of offshore species , 2005 .

[18]  Shang-Ping Xie,et al.  Satellite Observations of Cool Ocean–Atmosphere Interaction , 2004 .

[19]  G. Nevitt,et al.  Olfactory foraging by Antarctic procellariiform seabirds: life at high Reynolds numbers. , 2000, The Biological bulletin.

[20]  B. Legras,et al.  Relation between kinematic boundaries, stirring, and barriers for the Antarctic polar vortex , 2002 .

[21]  Adrian P. Martin Phytoplankton patchiness: the role of lateral stirring and mixing , 2003 .

[22]  M. Olivar,et al.  Fronts and eddies as key structures in the habitat of marine fish larvae : opportunity , adaptive response and competitive advantage , 2006 .

[23]  S. Doney,et al.  Biological response to frontal dynamics and mesoscale variability in oligotrophic environments: Biological production and community structure , 2002 .

[24]  J. Noh,et al.  Distribution of plankton related to the mesoscale physical structure within the surface mixed layer in the southwestern East Sea, Korea , 2004 .

[25]  P. Ryan,et al.  Exploitation of mesoscale oceanographic features by grey-headed albatross Thalassarche chrysostoma in the southern Indian Ocean , 2001 .

[26]  Francesco d'Ovidio,et al.  Stirring of the northeast Atlantic spring bloom: A Lagrangian analysis based on multisatellite data , 2007 .

[27]  Dudley B. Chelton,et al.  Summertime Coupling between Sea Surface Temperature and Wind Stress in the California Current System , 2007 .

[28]  V. Garçon,et al.  Comparative study of mixing and biological activity of the Benguela and Canary upwelling systems , 2008 .

[29]  George Haller,et al.  Lagrangian structures and the rate of strain in a partition of two-dimensional turbulence , 2001 .

[30]  P. Leeuwen,et al.  Eddies and variability in the Mozambique Channel , 2003 .

[31]  Andreas Oschlies,et al.  Eddy-induced enhancement of primary production in a model of the North Atlantic Ocean , 1998, Nature.

[32]  F. Marsac,et al.  Patterns of variability of sea surface chlorophyll in the Mozambique Channel: A quantitative approach , 2009 .

[33]  F. d’Ovidio,et al.  Mixing structures in the Mediterranean Sea from finite‐size Lyapunov exponents , 2004, nlin/0404041.

[34]  Johann R. E. Lutjeharms,et al.  Observations of the flow in the Mozambique Channel , 2002 .

[35]  Gustavo Goni,et al.  Oceanic mesoscale eddies as revealed by Lagrangian coherent structures , 2008 .

[36]  Amit Tandon,et al.  An analysis of mechanisms for submesoscale vertical motion at ocean fronts , 2006 .

[37]  H. Browman,et al.  Seeing the world through the nose of a bird: new developments in the sensory ecology of procellariiform seabirds , 2005 .

[38]  H. Seo,et al.  The Scripps Coupled Ocean–Atmosphere Regional (SCOAR) Model, with Applications in the Eastern Pacific Sector , 2007 .

[39]  Edward R. Abraham,et al.  Chaotic stirring by a mesoscale surface-ocean flow. , 2002, Chaos.

[40]  D. Stammer Global Characteristics of Ocean Variability Estimated from Regional TOPEX/POSEIDON Altimeter Measurements , 1997 .

[41]  H. Weimerskirch,et al.  Evidence for olfactory search in wandering albatross, Diomedea exulans , 2008, Proceedings of the National Academy of Sciences.

[42]  Remo Guidieri Res , 1995, RES: Anthropology and Aesthetics.

[43]  S. Wakeham,et al.  Oceanic Dimethylsulfide: Production During Zooplankton Grazing on Phytoplankton , 1986, Science.

[44]  D. Chelton,et al.  Satellite Measurements Reveal Persistent Small-Scale Features in Ocean Winds , 2004, Science.

[45]  H. Weimerskirch,et al.  Seabird associations with mesoscale eddies: the subtropical Indian Ocean , 2006 .

[46]  John Marra,et al.  Phytoplankton variability off the Western Australian Coast : Mesoscale eddies and their role in cross-shelf exchange , 2007 .

[47]  Patrice Klein,et al.  The oceanic vertical pump induced by mesoscale and submesoscale turbulence. , 2009, Annual review of marine science.

[48]  D. Kobayashi,et al.  The transition zone chlorophyll front, a dynamic global feature defining migration and forage habitat for marine resources , 2001 .

[49]  Bernard Legras,et al.  Hyperbolic lines and the stratospheric polar vortex. , 2002, Chaos.

[50]  Paul J. Martin,et al.  Relative dispersion from a high-resolution coastal model of the Adriatic Sea , 2008 .